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Automatic Mass Waste Sorting System Using Inductive Proximity Sensor, Water Level Sensor and Image Processing using MobileNet Algorithm Pura, Megantara; Langko, Charles Hardi; Kho, Jason
Ultima Computing : Jurnal Sistem Komputer Vol 15 No 2 (2023): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v15i2.3421

Abstract

The global municipal solid waste is predicted to increase by threefold in 2050. Indonesia’s most wastes are unsorted and only end up in landfill and the waste management is less than ideal. An automatic mass waste sorting system is proposed to answer such problems. The automatic mass waste sorting system is designed to be able to identify and separate metal, plastic and organic waste using electrical sensors and image processing. The electrical sensors was able to identify waste types with 65% accuracy and the image processing system was able to identify waste types with 86.67% accuracy. The result doesn’t offer much advantage compared to other research on waste management system, however it is hoped that this research may inspire other researches on mass waste sorting systems.
ALAT PENGUKUR KESEHATAN UNTUK DETEKSI AWAL GEJALA COVID-19 DI PUSKESMAS KELAPA DUA Pura, Megantara; Muharrom, Ahmad Syahril; Nugraha, M.B; Winantyo, Rangga; Tampubolon, Marojahan; Tanex, Kevin Nicholas; Kristi, David
Jurnal Sinergitas PKM & CSR Vol. 6 No. 2 (2022): OCTOBER
Publisher : Universitas Pelita Harapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19166/jspc.v6i2.6151

Abstract

Sebagai bentuk kepedulian terhadap pencegahan penyebaran virus COVID-19, dibuat alat pengukur kesehatan yang akan diaplikasikan di puskesmas. Alat yang dibuat dapat mengukur temperatur tubuh, detak jantung, dan kadar oksigen dalam darah menggunakan teknik photoplethysmography. Alat ini juga berfungsi untuk menghubungi petugas puskesmas bila kondisi kesehatan pasien menurun menggunakan sistem short messaging services (SMS). Mikrokontroller Arduino Mega 2560 digunakan sebagai penerima data dan kendali sistem. Sensor yang digunakan adalah sensor temperatur MLX90614 dan sensor kadar oksigen MAX30102. Sistem pengiriman SMS menggunakan board SIM808. Alat ini beroperasi menggunakan sumber listrik AC, dengan baterai Li-ion sebagai cadangan catu daya. Pengujian alat dilakukan di pintu masuk Laboratorium Teknik Elektro Universitas Multimedia Nusantara. Setiap mahasiswa yang datang ke laboratorium tersebut wajib melakukan cek kesehatan menggunakan alat tersebut. Selama masa pengujian, alat dapat mendeteksi temperatur dan kadar oksigen mahasiswa dengan tepat, serta alat mampu bertahan selama satu hari penuh hanya dengan menggunakan baterai. Alat ini akan diletakkan dan diaplikasikan di Puskesmas Kelapa Dua Tangerang.
Mapping the Potential and Challenges of Developing the Waru Brilliant Thematic Village in Bojong Renged Pura, Megantara; Wenehenubun, Simon Petrus; Andarini, Rahmi; Saputri, Fahmy Rinanda
I-Com: Indonesian Community Journal Vol 5 No 3 (2025): I-Com: Indonesian Community Journal (September 2025)
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/i-com.v5i3.7679

Abstract

The Waru Brilliant Thematic Village in Bojong Renged has been developed since 2021 in response to the limited natural resources in the Tangerang region and the impact of the COVID-19 pandemic. This program utilizes idle land for integrated agricultural and livestock activities, such as melon greenhouses, mushroom cultivation, chili gardens, and fish spawning. This service activity aims to map the available potential and identify the main challenges that hinder sustainability. Implementation methods include field observations, interviews with residents, and documentation of facilities. The results show that the physical potential is quite large but has not been supported by sustainable management. The main problems lie in low community participation, damage to facilities due to lack of ownership, and technical constraints related to weather and crop distribution. The findings emphasize the importance of collaboration and technology-based community empowerment strategies to support the sustainability of thematic villages.
Automatic Mass Waste Sorting System Using Inductive Proximity Sensor, Water Level Sensor and Image Processing using MobileNet Algorithm Pura, Megantara; Langko, Charles Hardi; Kho, Jason
ULTIMA Computing Vol 15 No 2 (2023): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v15i2.3421

Abstract

The global municipal solid waste is predicted to increase by threefold in 2050. Indonesia's most wastes are unsorted and only end up in landfill and the waste management is less than ideal. An automatic mass waste sorting system is proposed to answer such problems. The automatic mass waste sorting system is designed to be able to identify and separate metal, plastic and organic waste using electrical sensors and image processing. The electrical sensors was able to identify waste types with 65% accuracy and the image processing system was able to identify waste types with 86.67% accuracy. The result doesn't offer much advantage compared to other research on waste management system, however it is hoped that this research may inspire other researches on mass waste sorting systems.